MCP.Market

Paris Compass MCP server

by IvandeMurard·io.github.IvandeMurard/paris-compass-mcp·v0.1.4·1 stars
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Paris commercial premises from open data: shopfront history, street turnover, sourced figures.

A92/100grade A
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Safety scan
A92/100

full report

Adoption
Growing

1 stars469 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Paris Compass tools (6)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • compare_locations

    Scores two points with score_location's method and returns both sets side by side, plus a per-axis numeric delta (b minus a). No combined verdict: a single score would average axes that pull in opposite directions for different trades, which is exactly what this product refuses to do (PERIMETRE.md \xA74).

  • explain_score

    Full detail on a single axis of score_location \u2014 value, source, licence, date, method and caveat \u2014 as a sentence and as structured data. Use after score_location to justify one figure rather than re-deriving it from the full response.

  • find_premises

    Ground-floor premises surveyed by APUR's door-to-door BDCom census near a point, each with the location_id that trace_premise takes. Returns candidates, not a single match: premises routinely share an address and a coordinate, so picking one is the caller's decision. Vintage 2023 only (the sole ODbL vintage) \u2014 a premise that stopped being retail before 2023 is not listed here, and trace_premi

  • list_sources

    Every dataset the Compass tools actually draw from, with licence and freshness. Not a marketing list \u2014 only sources a tool call here will really touch.

  • score_location

    Scores one point on five amenity categories (schools, healthcare, groceries, parks, transit), walkability, a footfall proxy, and a road-noise proxy \u2014 each figure carrying its source, licence, date and method. No single score out of 100: PERIMETRE.md refuses one on the grounds that weights depend on the trade, so axes are returned separately.

  • trace_premise

    Everything known about one premise in chronological order: APUR BDCom survey rows (2017, 2020, 2023) and BODACC legal notices \u2014 business sales with their published price, safeguard, receivership and liquidation proceedings. Every row carries the record it came from, its evidence, and a derived confidence level with the rule that produced it. Answers 'has a restaurant ever been here', 'has thi

Public scan report

scanner v0.1.10 · 2026-10-16 · same rubric, same numbers if you re-run it

no findings
  • Code scan2 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 3 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 92/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Paris Compass compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
92/100
higher than 93% of 48,243 servers
Tools
6
the typical server has 7
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
1
more than 65% of 28,706 servers
Downloads a week
469
more than 87% of 12,306 servers with a package

What its tools let an agent do: 6 read

Release history: 2 versions in the registry since 2026-09-03, latest 2026-10-09, typically one every 36 days.

Install Paris Compass in Claude Code, Cursor or VS Code

Runs npx -y paris-compass-mcp on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add paris-compass-mcp -- npx -y paris-compass-mcp
Add to Cursor

What the publisher says

From the Paris Compass repository's README, as published. We do not edit it. Read it on GitHub

Compass

Context is the product.

Most commercial-property tools describe the unit - floor area, rent, photos - and leave you to infer the rest. But, a shopfront is only one part of the answer. Compass reads the street around it: what was there, what is changing, and what shapes its daily life nearby.

Open the map → · no account needed

Compass sells neither coverage nor granularity — it sells interpretation. The point is how clearly we turn a raw figure into a decision you can make today.

And an interpretation is worth only what you can check. The tools in this market promise answers grounded in audited data — that names who verified. Compass promises figures re-derivable from a cited public source — that names who can verify: you. An internal audit is a promise. A cited source is a test anyone can rerun, including against us.

A 3/6/9 lease is a nine-year bet, made today on one visit, a hunch about passing trade, and whatever the landlord says.

The question

You are standing in front of an empty shopfront. The agent says the street is lively.

Compass answers on six axes at once.

Each of those arrives with its source, its date and its confidence level.

Note the wording, because the product keeps it too: air quality is measured, noise is modelled. Noise and footfall are proxies, labelled as such on screen and here.

Three that deserve more than a line

Has a kitchen ever been here? If a restaurant occupied the unit, the extraction, grease trap and power are probably already in. If not, creating them runs into tens of thousands and needs the building's agreement. The most expensive question this data answers — before you travel.

Is this a graveyard or a good street? Rue d'Argout turned over half its shops in three years — but it also filled its three empty units. Churning upward, not dying. And turnover only means something against its own trade: of the cafés trading in 2017, 77% were still trading six years later around Les Halles, 56% in the quartier du Mail. Same city, same trade, a different bet.

What did people actually pay? 25 661 goodwill sales published with their price since 2015. For the 5 971 tied to a single shopfront, the median Paris fonds changes hands between 160 000 and 170 000 € — a range, not a point, because goodwill prices are declared in round numbers: the median sits on a step and moves in jumps, so a single figure would be precise about something the source is not. The trade decides almost everything.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Paris Compass: common questions

Is Paris Compass MCP server safe?
Yes, by our scan: it is graded A (92/100). Read the Paris Compass safety report
How do I install Paris Compass?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Paris Compass need an API key?
No secret keys are declared. It reads 2 settings from the environment.
Is Paris Compass maintained?
The last commit was 23 days ago (2026-10-14). The latest release is v0.1.4.
How does Paris Compass compare with other MCP servers?
safety score 92/100 (higher than 93% of 48,243 servers); tools 6 (the typical server has 7); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.